王詩彬，男，博士，西安交通大學機械工程學院航空發動機研究所副教授，碩士生導師。
基本介紹
- 中文名：王詩彬
- 畢業院校：西安交通大學
- 學位/學歷：博士
- 職業：教師
- 專業方向：航空發動機、直升機等重大機械裝備健康監測與故障診斷
- 任職院校：西安交通大學機械工程學院
- 性別：男
個人經歷,學習經歷,工作經歷,研究方向,學術成果,主持項目,學術論文,榮譽獎項,
個人經歷
學習經歷
2004年9月—2008年6月 蘇州大學 工學學士
2008年9月—2011年6月 蘇州大學 工學碩士 導師 朱忠奎教授
2011年9月—2015年6月 西安交通大學 工學博士 導師 陳雪峰教授
工作經歷
2015年7月—2018年6月 西安交通大學講師 博士後
2016年11月—2017年11月 紐約大學訪問學者(CSC) 導師 Lvan Selesnice教授
2018年7月—至今 西安交通大學副教授
研究方向
航空發動機、直升機等重大機械裝備健康監測與故障診斷、振動信號處理（匹配時頻分析、稀疏信號分析）
學術成果
主持項目
現主持國家自然科學基金重大研究計畫培育項目1項
國家自然科學基金青年基金1項
曾主持中國博士後科學基金面上項目與特別資助項目各1項
陝西省博士後特等資助項目1項
參與國家重點基礎研究計畫（973）項目“航空發動機運行安全基礎研究”
國家自然科學基金重點項目“航空發動機燃油控制系統服役安全保障方法研究”
兩機專項課題、直升機HUMS狀態指標開發企業合作課題等
學術論文
相關研究成果總結髮表學術論文28篇，其中第一作者SCI論文12篇，通訊論文3篇，5篇論文入選本領域近十年ESI TOP 1%高被引論文。論文發表至今引用1000餘次、單篇引用最高150次（Google學術統計），其中包括英國皇家工程院院士/IEEE會士S. McLaughlin教授、美國空軍研究實驗室技術顧問B. Suter博士、美國空軍研究實驗室技術顧問/IEEE會士B. Himed博士、IEEE會士D. Mandic教授、IEEE/ASME/CIRP會士R. Gao教授、羅羅公司專家Server、GE Aviation專家Saenz等多國學者和機構的引用與正面評價。
論文統計（截止2019.12.31）發表論文28篇，其中一作SCI論文12篇，通訊論文3篇，5篇論文入選本領域近十年ESI TOP 1%高被引論文，引用1000次以上
[1]Shibin Wang, Ivan W. Selesnick, Gaigai Cai, Baoqing Ding,Xuefeng Chen*.
Mechanical Systems and Signal Processing
[2]Shibin Wang,Ivan W. Selesnick, Gaigai Cai, Yining Feng, Xin Sui, Xuefeng Chen*.
IEEE Transactions on Industrial Electronics
[3]Shibin Wang, Xuefeng Chen*, Ivan W. Selesnick, Yanjie Guo, Chaowei Tong, Xingwu Zhang.
Mechanical Systems and Signal Processing
[4]Shibin Wang,Xuefeng Chen, Chaowei Tong, Zhibin Zhao.
IEEE Transactions on Instrumentation and Measurement
[5]Shibin Wang,Xuefeng Chen*, Gaigai Cai, Binqiang Chen, Xiang Li, Zhengjia He.
IEEE Transactions on Signal Processing
[29] Sparse Multi-period group lasso for bearing multi-fault diagnosis.
Zhibin Zhao, Shibin Wang*, Chuang Sun, Ruqiang Yan, Xuefeng Chen.
IEEE Transactions on Instrumentation and Measurement, 69 (2), 419-431, 2020.
[28] Sparsity-assisted bearing fault diagnosis using multiscale period group lasso.
Botao An, Zhibin Zhao, Shibin Wang, Shaowen Chen, Xuefeng Chen*.
ISA Transactions, 98, 338-348, 2020.
[27] Hierarchical hyper-Laplacian prior for weak fault feature enhancement.
Zhibin Zhao, Shibin Wang*, Botao An, Yanjie Guo, Xuefeng Chen.
ISA Transactions, 96, 429-443, 2020.
[26] Synthesis versus analysis priors via generalized minimax-concave penalty for sparsity-assisted machinery fault diagnosis.
Shibin Wang, Ivan W. Selesnick, Gaigai Cai, Baoqing Ding, Xuefeng Chen*.
Mechanical Systems and Signal Processing, 127, 202-233, 2019.
[25] A Weighted multi-scale dictionary learning model for its applications on bearing fault diagnosis.
Zhibin Zhao, Baijie Qiao, Shibin Wang, Zhixian Shan, Xuefeng Chen*.
Journal of Sound and Vibration, 446, 429-452, 2019.
[24] Enhanced sparse period-group lasso for bearing fault diagnosis.
Zhibin Zhao, Shuming Wu, Baijie Qiao, Shibin Wang, Xuefeng Chen*.
IEEE Transactions on Industrial Electronics, 66(3), 2143-2153, 2019.
[23] Vector Minimax Concave Penalty for Sparse Representation.
Shibin Wang, Xuefeng Chen*, Weiwei Dai, Ivan Selesnick, Gaigai Cai, Benjamin Cowen.
Digital Signal Processing, 83, 165-179, 2018.
[22] Sparsity-enhanced signal decomposition via generalized minimax-concave penalty for gearbox fault diagnosis.
Gaigai Cai, Ivan Selesnick, Shibin Wang*, Weiwei Dai, Zhongkui Zhu.
Journal of Sound and Vibration, 432, 213-234, 2018.
[21] Nonconvex sparse regularization and convex optimization for bearing fault diagnosis. (ESI Highly Cited Paper)
Shibin Wang, Ivan W. Selesnick, Gaigai Cai, Yining Feng, Xin Sui, Xuefeng Chen*.
IEEE Transactions on Industrial Electronics, 65(9), 7332-7342, 2018.
[20] Matching synchrosqueezing transform: A useful tool for characterizing signals with fast varying instantaneous frequency and application to machine fault diagnosis. (ESI Highly Cited Paper)
Shibin Wang, Xuefeng Chen*, Ivan W. Selesnick, Yanjie Guo, Chaowei Tong, Xingwu Zhang.
Mechanical Systems and Signal Processing, 100, 242-288, 2018.
[19] Basic research on machinery fault diagnostics: Past, present, and future trends.
Xuefeng Chen*, Shibin Wang, Baijie Qiao, Qiang Chen.
Frontiers of Mechanical Engineering, 13(2): 264-291, 2018.
[18] Mechanism of fast time-varying vibration for rotor–stator contact system: with application to fault diagnosis.
Laihao Yang, Xuefeng Chen*, Shibin Wang.
Journal of Vibration and Acoustics, 140(1), 014501-1, 2018.
[17] A novel amplitude-independent crack identification method for rotating shaft.
Laihao Yang, Xuefeng Chen*, Shibin Wang.
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2018. DOI: 10.1177/0954406217748686.
[16] Matching synchrosqueezing wavelet transform and application to aeroengine vibration monitoring.
Shibin Wang, Xuefeng Chen, Chaowei Tong, Zhibin Zhao.
IEEE Transactions on Instrumentation and Measurement, 66(2), 360-372, 2017.
[15] Nonlinear squeezing time-frequency transform and application in rotor rub-impact fault diagnosis.
Shibin Wang, Laihao Yang, Xuefeng Chen*, Chaowei Tong, Baoqing Ding, Jiawei Xiang.
ASME Journal of Manufacturing Science and Engineering, 139(10), 101005-1-13, 2017.
[14] Locally linear embedding on Grassmann manifold for performance degradation assessment of bearings.
Meng Ma, Xuefeng Chen, Xiaoli Zhang, Baoqing Ding, Shibin Wang.
IEEE Transactions on Reliability, 66(2), 467-477, 2017.
[13] Zoom synchrosqueezing transform and iterative demodulation: Methods with application.
Hongrui Cao, Songtao Xi, Xuefeng Chen, Shibin Wang.
Mechanical Systems and Signal Processing, 72, 695-711, 2016.
[12] Time-frequency atoms-driven support vector machine method for bearings incipient fault diagnosis. (ESI Highly Cited Paper)
Ruonan Liu, Boyuan Yang, Xiaoli Zhang, Shibin Wang, Xuefeng Chen.
Mechanical Systems and Signal Processing, 75, 345-370, 2016.
[11] Quantitative evaluation on the performance and feature enhancement of stochastic resonance for bearing fault diagnosis.
Guoying Li, Jimeng Li, Shibin Wang, Xuefeng Chen.
Mechanical Systems and Signal Processing, 81, 108-125, 2016.
[10] Transient signal analysis based on Levenberg-Marquardt method for fault feature extraction of rotating machines.
Shibin Wang, Gaigai Cai, Zhongkui Zhu*, Weiguo Huang, Xingwu Zhang.
Mechanical Systems and Signal Processing, 54-55, 14-40, 2015.
[9] Nonlinear squeezing time-frequency transform for weak signal detection.
Shibin Wang, Xuefeng Chen*, Yan Wang, Gaigai Cai, Baoqing Ding, Xingwu Zhang.
Signal Processing, 113, 195-210, 2015.
[8] Matching demodulation transform with applications to feature extraction of rotor rub-impact fault.
Shibin Wang, Xuefeng Chen*, Guoying Li, Xiang Li, Zhengjia He.
IEEE Transactions on Instrumentation and Measurement, 63 (5), 1372-1383, 2014.
[7] Matching demodulation transform and synchrosqueezing in time-frequency analysis. (ESI Highly Cited Paper)
Shibin Wang, Xuefeng Chen*, Gaigai Cai, Binqiang Chen, Xiang Li, Zhengjia He.
IEEE Transactions on Signal Processing, 62(1), 69-84, 2014.
[6] Adaptive spectral kurtosis filtering based on Morlet wavelet and its application for signal transients detection.
Haiyang Liu, Weiguo Huang*, Shibin Wang, Zhongkui Zhu.
Signal Processing, 96, 118-124, 2014.
[5] Composite damage detection based on redundant second-generation wavelet transform and fractal dimension tomography algorithm of Lamb wave.
Xuefeng Chen*, Xiang Li, Shibin Wang, Zhibo Yang, Binqiang Chen, Zhengjia He.
IEEE Transactions on Instrumentation and Measurement, 62(5), 1354-1363, 2013.
[4] 瞬態成分參數的最小二乘法辨識及其軸承故障特徵提取套用.
王詩彬，許佳，朱忠奎．
機械工程學報，48(7), 68-76,2012.
[3] Transient modeling and parameter identification based on wavelet and correlation filtering for rotating machine fault diagnosis. (ESI Highly Cited Paper)
Shibin Wang, Weiguo Huang, Z.K. Zhu*.
Mechanical Systems and Signal Processing, 25(4), 299-1320, 2011.
[2] Adaptive parameter identification based on Morlet wavelet and application in gearbox gault feature detection.
Shibin Wang, Z. K. Zhu, Yingping He, and Weiguo Huang,
EURASIP Journal on Advances in Signal Processing, 2010. DOI:10.1155/2010/842879.
[1] 基於瞬態衝擊回響參數辨識的軸承故障特徵檢測.
王詩彬，朱忠奎，王安柱，
振動工程學報，23(4), 445-449, 2010.
[1] Xuefeng Chen, Shibin Wang. Matching demodulation transform and its application in machine fault diagnosis, in Structural Health Monitoring, ed: Springer, 2017, pp. 155-202
榮譽獎項
陝西省優秀博士論文(2017)
上銀優秀機械博士論文銀獎(2016)
西安交通大學優秀博士論文(2016)
江蘇省優秀碩士論文(2012)
